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Backfilling Mastery: Elevating Data Engineering Expertise

A go-to guide for data engineers wading through the backfilling maze Continue reading on Towards Data Science »

Methods for Modelling Customer Lifetime Value: The Good Stuff and the Gotchas

Part three of a comprehensive, practical guide to CLV techniques and real-world use-cases Continue reading on Towards Data Science »

Evaluation Metrics for Classification: Beyond Accuracy

Unfolding Confusion Matrix, Precision, Recall, F1 Score, and ROC Curve Continue reading on Towards Data Science »

Are Globals in Python Really Global?

Learn a hack to make a Python object truly global. Continue reading on Towards Data Science »

Unravelling Complexity: A Novel Approach to Manifold Learning Using Noise Injection

In the world of data science, high-dimensional data presents both a challenge and opportunity. Whilst it provides a treasure trove of relationships and patterns that can be moulded and transformed, without careful cleaning and selection it can become overwhelming to

Navigating the Cartographic Challenge: Halfway Through the #30DayMapChallenge

Image by author Every map tells a story, and every story brings us closer to understanding our world. Visualizing the vastness of the world is no small feat. But to get a step closer to it, this November, I am participating in

Bayesian AB Testing with Pyro

A primer in Bayesian thinking and AB testing using Pyro Credit: Free-Photos on Pixabay This article is an introduction to AB testing using the Python probability programming language (PPL) Pyro, an alternative to PyMC. The motivation for writing this article was to

Accelerating PyTorch Training Workloads with FP8

How to make the most of your modern-day GPU Photo by Deva Darshan on Unsplash The past few years have seen revolutionary advancements in the field of AI, perhaps best exemplified by the recent popularity and proliferation of LLM-based applications such

Data Visualization with KNIME

A Step-by-Step Comprehensive Guide Continue reading on Towards Data Science »

How does a decision tree know the next best question to ask from the data?

Build your own decision tree (from scratch in Python) and understand how it uses entropy to split Continue reading on Towards Data Science »